| 2023 | CBMS | COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learning. | Mahbub Ul Alam, Jaakko Hollmn, Rahim Rahmani |
| 2023 | IDA | Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies. | Maria Movin, Guilherme Dinis Junior, Jaakko Hollmn, Panagiotis Papapetrou |
| 2022 | CBMS | FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. | Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmn, Panagiotis Papapetrou |
| 2022 | DIS | Policy Evaluation with Delayed, Aggregated Anonymous Feedback. | Guilherme Dinis Junior, Sindri Magnsson, Jaakko Hollmn |
| 2022 | DIS | Semi-parametric Approach to Random Forests for High-Dimensional Bayesian Optimisation. | Vladimir Kuzmanovski, Jaakko Hollmn |
| 2022 | SmartComp | Principal Component Analysis Visualizations in State Discovery by Animating Exploration Results. | Miki Sirola, Olli-Pekka Rinta-Koski, Le Ngu Nguyen, Jaakko Hollmn |
| 2021 | IDA | Composite Surrogate for Likelihood-Free Bayesian Optimisation in High-Dimensional Settings of Activity-Based Transportation Models. | Vladimir Kuzmanovski, Jaakko Hollmn |
| 2020 | CBMS | A Clustering Framework for Patient Phenotyping with Application to Adverse Drug Events. | Maria Bampa, Panagiotis Papapetrou, Jaakko Hollmn |
| 2020 | DIS | Mitigating Discrimination in Clinical Machine Learning Decision Support Using Algorithmic Processing Techniques. | Emma Briggs, Jaakko Hollmn |
| 2019 | DIS | Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland. | Vladimir Kuzmanovski, Mika Sulkava, Taru Palosuo, Jaakko Hollmn |
| 2017 | ESANN | Prediction of preterm infant mortality with Gaussian process classification. | Olli-Pekka Rinta-Koski, Simo Srkk, Jaakko Hollmn, Markus Leskinen, Sture Andersson |
| 2017 | IJCNN | BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints. | Alexandr V. Maslov, Mykola Pechenizkiy, Yulong Pei, Indre Zliobaite, Alexander Shklyaev, Tommi Krkkinen, Jaakko Hollmn |
| 2016 | BPM | Focusing Business Improvements Using Process Mining Based Influence Analysis. | Teemu Lehto, Markku Hinkka, Jaakko Hollmn |
| 2016 | CBMS | Resource Frequency Prediction in Healthcare: Machine Learning Approach. | Daniel Vieira, Jaakko Hollmn |
| 2015 | DIS | Resolution Transfer in Cancer Classification Based on Amplification Patterns. | Prem Raj Adhikari, Jaakko Hollmn |
| 2014 | DIS | Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization. | Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmn |
| 2014 | EDBT | Mobile Sensing Data for Urban Mobility Analysis: A Case Study in Preprocessing. | Indre Zliobaite, Jaakko Hollmn |
| 2014 | ESANN | Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector Regression. | Konsta Sirvio, Jaakko Hollmn |
| 2014 | IDA | A Deep Interpretation of Classifier Chains. | Jesse Read, Jaakko Hollmn |
| 2013 | CBMS | Challenges in predicting community periodontal index from hospital dental care records. | Daniel Vieira, Jari Linden, Jaakko Hollmn, Jorma Suni |
| 2013 | DIS | Mixture Models from Multiresolution 0-1 Data. | Prem Raj Adhikari, Jaakko Hollmn |
| 2012 | DIS | Fast Progressive Training of Mixture Models for Model Selection. | Prem Raj Adhikari, Jaakko Hollmn |
| 2011 | ICANN | Forecasting Road Condition after Maintenance Works by Linear Methods and Radial Basis Function Networks. | Konsta Sirvio, Jaakko Hollmn |
| 2011 | ICDM | Collaborative Filtering for Coordinated Monitoring in Sensor Networks. | Janne Toivola, Jaakko Hollmn |
| 2011 | IDA | Comparative Analysis of Power Consumption in University Buildings Using envSOM. | Serafn Alonso, Manuel Domnguez-Gonzlez, Miguel A. Prada, Mika Sulkava, Jaakko Hollmn |
| 2011 | IDEAL | Logistic Fitting Method for Detecting Onset and Cessation of Tree Stem Radius Increase. | Mark J. Brewer, Mika Sulkava, Harri Mkinen, Mikko Korpela, Pekka Njd, Jaakko Hollmn |
| 2010 | IDA | Novelty Detection in Projected Spaces for Structural Health Monitoring. | Janne Toivola, Miguel A. Prada, Jaakko Hollmn |
| 2009 | IDA | Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring. | Janne Toivola, Jaakko Hollmn |
| 2008 | DIS | Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns. | Mikko Korpela, Harri Mkinen, Mika Sulkava, Pekka Njd, Jaakko Hollmn |
| 2008 | ESANN | Selection of important input variables for RBF network using partial derivatives. | Jarkko Tikka, Jaakko Hollmn |
| 2008 | HAIS | Spatio-temporal Road Condition Forecasting with Markov Chains and Artificial Neural Networks. | Konsta Sirvio, Jaakko Hollmn |
| 2007 | DIS | Model Selection and Estimation Via Subjective User Preferences. | Jaakko Hollmn |
| 2007 | ICDM | Segmenting Multi-attribute Sequences Using Dynamic Bayesian Networks. | Robert Gwadera, Janne Toivola, Jaakko Hollmn |
| 2007 | IDA | Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions. | Jaakko Hollmn, Jarkko Tikka |
| 2007 | IWANN | Mixture Modeling of DNA Copy Number Amplification Patterns in Cancer. | Jarkko Tikka, Jaakko Hollmn, Samuel Myllykangas |
| 2006 | DIS | Analysis of Linux Evolution Using Aligned Source Code Segments. | Antti Rasinen, Jaakko Hollmn, Heikki Mannila |
| 2006 | ICANN | Analysis of Fast Input Selection: Application in Time Series Prediction. | Jarkko Tikka, Amaury Lendasse, Jaakko Hollmn |
| 2005 | ICANN | Combining Measurement Quality into Monitoring Trends in Foliar Nutrient Concentrations. | Mika Sulkava, Pasi Rautio, Jaakko Hollmn |
| 2005 | ISMB | Data integration and visualization system for enabling conceptual biology. | Peddinti V. Gopalacharyulu, Erno Lindfors, Catherine Bounsaythip, Teemu Kivioja, Laxman Yetukuri, Jaakko Hollmn, Matej Oresic |
| 2005 | IWANN | Input Selection for Long-Term Prediction of Time Series. | Jarkko Tikka, Jaakko Hollmn, Amaury Lendasse |
| 2003 | SDM | Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data. | Jaakko Hollmn, Jouni K. Seppnen, Heikki Mannila |
| 2002 | DIS | Image Analysis for Detecting Faulty Spots from Microarray Images. | Salla Ruosaari, Jaakko Hollmn |
| 2001 | HIS | An Automated Report Generation Tool for the Data Understanding Phase. | Juha Vesanto, Jaakko Hollmn |
| 2000 | IDEAL | Quantization of Continuous Input Variables for Binary Classification. | Michal Skubacz, Jaakko Hollmn |
| 1998 | ICASSP | Fraud detection in communication networks using neural and probabilistic methods. | Michiaki Taniguchi, Michael Haft, Jaakko Hollmn, Volker Tresp |
| 1997 | ICONIP | Analysis of Complex Systems Using the Self-Organizing Map. | Olli Simula, Esa Alhoniemi, Jaakko Hollmn, Juha Vesanto |